Case-Based Decision Theory
提出不确定性决策部分基于案例，模型以案例为基本单位，通过过去类似案例中行动的表现加权求和来评估当前行动，并自然引出满意决策和抱负水平的概念。
This paper suggests that decision-making under uncertainty is, at least partly, case-based. We propose a model in which cases are primitive, and provide a simple axiomatization of a decision rule that chooses a “best” act based on its past performance in similar cases. Each act is evaluated by the sum of the utility levels that resulted from using this act in past cases, each weighted by the similarity of that past case to the problem at hand. The formal model of case-based decision theory naturally gives rise to the notions of satisficing decisions and aspiration levels.